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A simulation of the SA node by a phase response curve-based model of a two-dimensional pacemaker cells array

机译:二维起搏器细胞阵列的基于相位响应曲线的模型对SA节点的仿真

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This paper presents a simulation of the sino-atrial (SA) node by a two-dimensional pacemaker cells array model, based on phase response curve (PRC) interaction. This simple model of the cardiac pacemaker cells, involves only the most basic functional properties, which play a direct role in the determination of the SA node rhythm. The two most relevant functional properties of the pacemaker cells are: the intrinsic cycle length, an "internal" feature of each pacemaker cell, and the PRC, an "overall collective" function. The PRC contains the "information" about the type of interactions of each pacemaker cell with the outside world (i.e., interaction with neighboring cells, external stimulus, etc.), and "strength" of the interaction (strong, weak, etc.). The authors' studied the spatial interaction among a large number of pacemaker cells (15/spl times/15), as a function of the regional variation of cells properties, the "electrical" coupling between cells (the PRC), and the appearance of regions with abnormal cycle lengths. The authors investigated the influence of those parameters on the mutual interaction between the pacemaker cells, on the activation pattern and conduction time of the array, and on a pseudo-electrocardiogram (ECG) signal. This study demonstrates that by representing the pacemaker cells in the SA node by only two fundamental features, and by applying a simple physical-mathematical model, one can create a global picture of the SA node system. This enables one to explore physiological phenomena related to the genesis and maintenance of the SA node activity, and to gain insight into the conditions which predispose the SA node instability, and conduction disturbances.
机译:本文基于相位响应曲线(PRC)交互作用,通过二维起搏器细胞阵列模型对窦房结(SA)节点进行了仿真。心脏起搏器细胞的这种简单模型仅涉及最基本的功能特性,这些特性在SA结节律的确定中起着直接作用。起搏器单元的两个最相关的功能属性是:固有周期长度(每个起搏器单元的“内部”功能)和PRC(一种“总体集体”功能)。 PRC包含有关每个起搏器细胞与外界的相互作用类型(即与邻近细胞的相互作用,外部刺激等)的“信息”,以及相互作用的“强度”(强,弱等)。 。作者研究了大量起搏器细胞之间的空间相互作用(15 / spl次/ 15),它是细胞特性的区域变化,细胞之间的“电”耦合(PRC)以及细胞的外观的函数。周期长度异常的区域。作者研究了这些参数对起搏器细胞之间相互相互作用,阵列的激活模式和传导时间以及伪心电图(ECG)信号的影响。这项研究表明,仅通过两个基本特征来表示SA节点中的起搏器细胞,并应用简单的物理数学模型,就可以创建SA节点系统的全局图。这使人们能够探索与SA节点活动的发生和维持有关的生理现象,并深入了解容易导致SA节点不稳定和传导干扰的条件。

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